Connect to my IBKR account and build me an actionable portfolio X-ray as a
self-contained HTML dashboard I can open in my browser.

GOLDEN RULE — be GRAPHICAL-FIRST: show every piece of information as a visual
(chart, gauge, heatmap, treemap, colored badge, progress bar, or sparkline)

This gist discusses implementation of a Debug Module (DM) primarily per RISC-V Debug Specification v0.11. The core ideas, though, apply to Debug Specification v0.13. Information presented here come from various sources, but mostly from Debug Specs, riscv-isa-sim and from reverse engineering e200_opensource. Relevant source of information is also riscv-openocd.

RISC-V Foundation established a debug task group to propose and standardize mechanisms for external debugging of RISC-V (RV) cores. This effort resulted in drafting a RISC-V External Debug Supprt specification, early [v0.1

A zero-dependency logging proxy that sits between Claude Code and the Anthropic API. It forwards every request untouched, streams the reply straight back (so the CLI is unaffected), and writes a readable Markdown document for each request — led by a ranked table of what is eating your context.

https://c2rsetup.officeapps.live.com/c2r/downloadVS.aspx?sku=community&channel=Stable&version=VS18

https://c2rsetup.officeapps.live.com/c2r/downloadVS.aspx?sku=enterprise&channel=Stable&version=VS18

https://c2rsetup.officeapps.live.com/c2r/downloadVS.aspx?sku=professional&channel=Stable&version=VS18

https://aka.ms/vs/18/Stable/vs_community.exe

Please make me a rich, interactive explanation of the specified code change.

It should have these sections:

A complete, opinionated plan for setting up a fresh machine (physical or virtual) whose sole job is running the Hermes AI agent reliably 24/7.

Note on sizes: a lot of those might be inaccurate as there might be many microservices required aside from the core release/docker image. I haven't tested these recently so I'm not sure

• Designed explicitly as an open source Firebase alternative
• Typescript based
• Docker support
• Full Postgres database with Realtime subscriptions

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

I have compiled all the resources that helped me in my GATE preparation, and I hope they help you too! 🚀

Brave is an excellent, privacy-focused browser, but its default configuration comes packed with extra features that many users consider bloat. This guide will walk you through how to get rid of the bloat, hide the ads, and disable background services for a clean, minimal browsing experience.

The default start page and toolbars are crowded with Brave "cards," news feeds, and native crypto shortcuts. Fortunately, the surface-level clutter is easy to hide directly from the UI.

• Clean the Start Page: Open a new tab, click the Customize button in the bottom right corner, and toggle off Brave News, Cards, and any unwanted background images or stats.
• Clean the Toolbar: Right-click on the Brave Rewards, Brave Wallet, Brave VPN, and Leo AI icons located next to the URL bar, and select Hide.